| Joint approximately sparse channel estimation and data detection in OFDM systems using sparse Bayesian learning R Prasad, CR Murthy, BD Rao IEEE Transactions on Signal Processing 62 (14), 3591-3603, 2014 | 163 | 2014 |
| Joint channel estimation and data detection in MIMO-OFDM systems: A sparse Bayesian learning approach R Prasad, CR Murthy, BD Rao IEEE Transactions on signal processing 63 (20), 5369-5382, 2015 | 145 | 2015 |
| Cramér-Rao-type bounds for sparse Bayesian learning R Prasad, CR Murthy IEEE Transactions on Signal Processing 61 (3), 622-632, 2012 | 63 | 2012 |
| Bayesian learning for joint sparse OFDM channel estimation and data detection R Prasad, CR Murthy 2010 IEEE Global Telecommunications Conference GLOBECOM 2010, 1-6, 2010 | 38 | 2010 |
| Factors predicting length of hospital stay in acute stroke patients admitted in a rural tertiary care hospital A Saxena, R Prasad, K Verma, S Saxena J Gerontol Geriatr Res S 5 (2), 2016 | 31 | 2016 |
| Variational student: Learning compact and sparser networks in knowledge distillation framework S Hegde, R Prasad, R Hebbalaguppe, V Kumar ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 20 | 2020 |
| CRESA: a deep learning approach to competing risks, recurrent event survival analysis G Gupta, V Sunder, R Prasad, G Shroff Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 15 | 2019 |
| Nested sparse Bayesian learning for block-sparse signals with intra-block correlation R Prasad, CR Murthy, BD Rao 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 15 | 2014 |
| Camta: Causal attention model for multi-touch attribution S Kumar, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff 2020 International Conference on Data Mining Workshops (ICDMW), 79-86, 2020 | 12 | 2020 |
| MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population GS Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig Conference on Neural Information Processing Systems(NeurIPS 2019) - CausalML …, 2019 | 11* | 2019 |
| Select wisely and explain: Active learning and probabilistic local post-hoc explainability A Saini, R Prasad Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 599-608, 2022 | 10 | 2022 |
| Online recovery of temporally correlated sparse signals using multiple measurement vectors G Joseph, CR Murthy, R Prasad, BD Rao 2015 IEEE Global Communications Conference (GLOBECOM), 1-6, 2015 | 8 | 2015 |
| Effect of parallel electric field on charged particle precipitation R Prasad, RN Singh Planetary and Space Science 29 (9), 915-924, 1981 | 8 | 1981 |
| Joint channel estimation and data detection in MIMO-OFDM systems using sparse Bayesian learning R Prasad, CR Murthy 2014 Twentieth National Conference on Communications (NCC), 1-6, 2014 | 7 | 2014 |
| Sparsity constraints and knowledge distillation based learning of sparser and compressed neural networks S Hegde, R Hebbalaguppe, R Prasad US Patent 11,403,523, 2022 | 6 | 2022 |
| DAGSurv: Directed Acyclic Graph Based Survival Analysis Using Deep Neural Networks SR Ansh Kumar Sharma, Rahul Kukreja, Ranjitha Prasad ACML, 2021 | 6* | 2021 |
| Joint data detection and dominant singular mode estimation in time varying reciprocal MIMO systems R Prasad, BN Bharath, CR Murthy 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 6 | 2011 |
| Multimbnn: Matched and balanced causal inference with neural networks A Sharma, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff arXiv preprint arXiv:2004.13446, 2020 | 5 | 2020 |
| Locally Interpretable Model Agnostic Explanations using Gaussian Processes A Saini, R Prasad ArXiv. abs/2108.06907, 2021 | 3 | 2021 |
| Sparse signal recovery in the presence of colored noise and rank-deficient noise covariance matrix: An sbl approach V Vinjamuri, R Prasad, CR Murthy 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 3 | 2015 |
Chandra MurthyProfessor, ECE, Indian Institute of Science在 iisc.ac.in 的电子邮件经过验证
